Bacterial translocation to mesenteric lymph nodes fueling surgical site infections: evidence, technical challenges and future directions by Simone N. Zwicky, Lara Mordasini, Daniel Spari, Bahtiyar Yilmaz, Guido Beldi

“…Abstract Surgical site infections (SSIs) continue to pose a significant healthcare challenge by contributing to longer post-surgical recovery times, greater healthcare costs and higher patient mortality. The traditional understanding of SSIs has focused on the impact of various external origins of contamination or on the importance of intestinal spillage during surgical procedures. …”
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Deep learning-assisted thermal image analysis for assessment of cementitious composite flaws by Yoonseon Cha, Hyojeong Yun, Sanghyeon Cho, Wonseok Chung

“…However, conventional non-destructive testing techniques have limitations, including long inspection times, high costs, and accuracy of results that depend on the skill of the inspector. …”
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The Media Industry’s Structural Transformation in Capitalism and the Role of the State: Media Economics in the Age of Digital Communications by Manfred Knoche

“…The article identifies four capital strategies that media capital tends to use in order to try to maximise profits: a) The substitution of “old” by “new” media technology, b) the introduction of new transmission channels for “old” media products, c) the definition of new property rights for media sectors and networks, d) the reduction of production and transaction costs. The drive to profit maximization is at the heart of the capitalist media industry’s structural transformation. …”
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Integrated approach for assessing the fire risk of ethanol storage tank: A case study in ethanol manufacturing plant in Ubon Ratchathani Province, Thailand by Ratchanee Joomjee, Arroon Ketsakorn

“…Adaptable to other high-risk industrial contexts such as chemical manufacturing, fuel distribution, and hazardous material storage the approach offers a practical decision-support tool for industrial engineers and safety managers, with the potential to reduce accident-related costs, minimize operational downtime, and improve community safety.…”
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Estimation of the Efficiency of the Operation of The Production Gas Well and Transfer It to the Stage of Capital Repair by R. A. Gasumov, E. R. Gasumov

“…This assessment will allow assessing the effectiveness of repair work, optimizing their plans for carrying out, and reducing costs due to emergency failure of wells.…”
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Progress in Pseudotyping Lentiviral Vectors Towards Cell-Specific Gene Delivery In Vivo by Ariana Arduini, Harshita Katiyar, Chen Liang

“…To overcome these barriers, direct in vivo transgene delivery to physiologically relevant cells has been explored, bypassing the need for ex vivo manipulations and reducing costs. Yet, a major challenge in this approach is engineering LV cell tropism to ensure the precise targeting of specific cells while avoiding off-target effects. …”
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Mcaaco: a multi-objective strategy heuristic search algorithm for solving capacitated vehicle routing problems by Yanling Chen, Jingyi Wei, Tao Luo, Jie Zhou

“…Experimental indicators demonstrate that the breakthrough algorithm significantly addresses the issues of high costs and low efficiency prevalent in the practical logistics distribution industry.…”
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Redesigning TBM-1.7 Combustion Unit to Expand the Temperature Range by A. S. Kliuchnikov, E. N. Lapin

“…It is shown that the transition to a new low-temperature method of convective drying leads to a reduction in grain drying costs.The implementation of this method is confirmed to require expanded temperatures generated by the TBM-1.7 furnace unit that the SZSh-16A shaft dryer is equipped with. …”
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Certified Robustness of Antenna Selecting Neural Networks for Massive MIMO Wireless Communications by Jaekwon Kim, Hyo-Sang Lim, Kwanghoon Choi

“…Future wireless systems with massive antennas must balance data rates and RF chain costs. Antenna selection activating only a subset of antennas addresses this challenge. …”
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Recycling Agricultural Waste: Sustainable Solutions for Enhancing Livestock Nutrition by Mohsen Kazemi

“…Notably, adding these materials to ruminant diets results in 10%–30% reductions in feed costs and improvements of 5%–20% in key performance metrics, such as weight gain and milk production. …”
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Attitudes, beliefs, and practices regarding complementary and alternative medicine use: Influenza vaccine intake. by Dala N Daraghmeh, Ahmad Salah, Nasim Hamdan, Abdallah Zamareh

“…Popular natural remedies like Vitamin C, ginger, and honey reflect a trend toward preventive healthcare despite concerns over costs and skepticism about CAM's effectiveness.<h4>Conclusion</h4>Vaccine hesitancy is influenced by multiple factors, including context and types of CAM use. …”
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Treatment motivation in adolescent girls with obesity by A. S. Votineva, Zh. V. Prokhorova, V. M. Polyakov, I. A. Cherevikova

“…A decrease in treatment motivation reduces therapeutic effect, increases the complication rate of the underlying disease, reduces the quality of life of patients and increases treatment costs.The aim of the work. To identify the differences in treatment motivation in adolescent girls with obesity.Materials and methods. …”
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Investigation of Engine Lubrication Oil Quality Using a Support Vector Machine and Electronic Nose by Ali Adelkhani, Ehsan Daneshkhah

“…Monitoring the quality of engine oil improves engine efficiency and reduces engine maintenance costs. Several methods have been proposed for this purpose; however, most of them take too long to test oil quality. …”
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NUTRACEUTICALS: A WAY FORWARD FOR CANCER TREATMENT by Muhammad Usman, Shabbir Ahmad, Muhammad Sibt-e-Abbas, Rizwan Ullah, Rimsha Umar

“…All the treatment methods for cancer are costly. However, the use of nutraceuticals for cancer treatment is cheap. …”
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FENOMENA ALIH ORIENTASI PEMANFAATAN LAHAN HUTAN DI LERENG GUNUNG MURIA by Eva Banowati

“…Most of ‘Pesangem’ chose cassava as a crop interrupters because can giving some benefts include: 1) cassava more easily even without treatment, 2) low production costs, - 3) price stability; 4) marketable due. …”
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Formulações monoestágio para o problema de programação da produção de bebidas dois estágios com sincronia Mono-stage formulations for the soft drink production process with two syn... by Deisemara Ferreira, Bernardo Almada-Lobo, Reinaldo Morabito

“…It is a multi-product, multi-machine problem, with sequence-dependent setup times and costs. Without loss of generality, these single-stage reformulations address the problem correctly and, in general, reduce the size of the synchronized two-stage model of Ferreira, Morabito e Rangel (2009), regarding the number of variables and constraints. …”
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Estimation of the average time to failure of the turning steps according to the operation data by M. V. Belousova, V. V. Bulatov

“…The correct choice of the distribution law for each technical product allows for the current calculation of reliability indicators, predicting them, as well as developing preventive measures for a specific technical product and leveling costs both during production and during operation.The article presents well-founded arguments that the failure time for turning steps is characterized by the Weibull distribution law. …”
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Cable Force Optimization of Circular Ring Pylon Cable-Stayed Bridges Based on Response Surface Methodology and Multi-Objective Particle Swarm Optimization by Shengdong Liu, Fei Chen, Qingfu Li, Xiyu Ma

“…It achieves over 80% reduction in computational costs while enhancing critical structural performance metrics. …”
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USE OF HIGH-DEFINITION IMAGING FLOW CYTOMETRY AND A.I. TO ENUMERATE AND CHARACTERISE CIRCULATING TUMOUR CELLS

“…Liquid biopsies appear to have certain advantages when compared to tissue biopsies, including shorter time of acquisition, lower costs of sample isolation, monitoring tumour evolution, or real-time drug response. …”
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A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…However, current methods for constructing fitness landscapes demonstrate insufficient theoretical analysis of state parameters and involve high construction time costs. To address these limitations, this paper introduces a dynamic state cluster-based particle swarm optimization (DSCPSO) algorithm, which employs population phenotypic entropy based on clustering technique. (1) The algorithm provides theoretical splitting points by mathematically analyzing the population into four states: convergence, exploitation, escape, and exploration, enabling more effective parameter adaptive mechanisms. (2) DSCPSO incorporates sinusoidal chaos mapping to dynamically adjust inertia weights, allowing particles to better align with the population’s evolutionary state. (3) During the convergence state, an intelligent particle migration strategy (IPMS) enhances search efficiency within the solution space, preventing unnecessary computational resource consumption. …”
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